20th Iranian Conference on Electrical Engineering (ICEE2012)最新文献

Geometrical analysis of altitude estimation error caused by pixel quantization in stereo vision 立体视觉中像素量化引起的高度估计误差几何分析

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-09-05 DOI: 10.1109/IRANIANCEE.2012.6292444

F. Fooladgar, S. Samavi, S. Soroushmehr

{"title":"Geometrical analysis of altitude estimation error caused by pixel quantization in stereo vision","authors":"F. Fooladgar, S. Samavi, S. Soroushmehr","doi":"10.1109/IRANIANCEE.2012.6292444","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2012.6292444","url":null,"abstract":"Determining location of a target in a specific region is an important goal in some machine vision applications. The accuracy of the target localization is related to a number of parameters. Quantization process in the CCD of a camera node is one of the sources of error which results in achieving an estimation of the target location instead of its exact position. In this paper, we present a geometrical approach to analyze this error. The proposed approach models the field of view of each pixel as an oblique cone. Thus the ambiguity in localization, via two cameras with arbitrary configurations, is considered by intersection of two oblique cones. In this paper we utilize the difference between the maximum and minimum points of the cones intersection, in all three dimensions, as a criterion of error estimation. In order to determine the extremum points, the Lagrangain method is used. We show the validity of our model through simulations. Also, we analyze the effect of varying many parameters such as the baseline length, focal length, and pixel size, on the amount of the estimation error.","PeriodicalId":308726,"journal":{"name":"20th Iranian Conference on Electrical Engineering (ICEE2012)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127164713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Variable-structure position control-a class of fast and robust controllers for synchronous reluctance motor drives 变结构位置控制是一类用于同步磁阻电机驱动的快速、鲁棒的控制器

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-09-05 DOI: 10.1109/IRANIANCEE.2012.6292393

M. Nabipour, H. Abootorabi Zarchi, S. M. Madani

{"title":"Variable-structure position control-a class of fast and robust controllers for synchronous reluctance motor drives","authors":"M. Nabipour, H. Abootorabi Zarchi, S. M. Madani","doi":"10.1109/IRANIANCEE.2012.6292393","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2012.6292393","url":null,"abstract":"A family of variable structure robust position tracking controller is presented for a three-phase synchronous reluctance motor (SynRM) considering the maximum torque control (MTC) strategy related to this motor. Neglecting the iron losses, the proposed controller is designed including one of the three classes of linear variable structure controller and adaptive input-output feedback linearization (AIOFL) approaches. Foremost, a sliding mode-plus-PI controller is used to obtain the stator current reference signal. For that stage, three classes of a PI-sliding controller are presented. These methods are then compared and its characteristics are specified and the optimum use for any case, determined. The presented position controller is fast response and robust against mechanical parameter uncertainties and load torque disturbance. At Second stage, the proposed sliding mode based AIOFL controller estimates the unknown electrical uncertainties without using sign(.) or sat(.) function. Hence, it reduces chattering or steady state error phenomenon. Finally, the effectiveness and feasibility of the proposed control approach is demonstrated by computer simulation. The results obtained confirm that the desired position reference command is perfectly tracked in spite of motor parameter uncertainties and load torque disturbance.","PeriodicalId":308726,"journal":{"name":"20th Iranian Conference on Electrical Engineering (ICEE2012)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132913207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Time-domain MoM for the scattering analysis of thin-wire structures within a ground using band-limited Second-Order Lagrange temporal basis functions 基于带限二阶拉格朗日时间基函数的地面细线结构散射时域MoM分析

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-09-05 DOI: 10.1109/IRANIANCEE.2012.6292519

Z. Firouzeh, M. Ghaffari‐Miab, R. Faraji-Dana, R. Moini, S. Sadeghi, G. Vandenbosch

引用次数: 2

Analysis of corona effect on lightning performance of HV overhead transmission line using ATP/EMTP 利用ATP/EMTP分析电晕效应对高压架空输电线路防雷性能的影响

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-05-18 DOI: 10.1109/EEEIC.2012.6221581

S. Astinfeshan, A. Gholami, M. Mohajeri

引用次数: 1

SVBO: Support Vector-Based Oversampling for handling class imbalance in k-NN SVBO:基于支持向量的过采样处理k-NN的类不平衡

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292427

A. Ghazikhani, R. Monsefi, H. Yazdi

引用次数: 1

Linear feature extraction for hyperspectral images using information theoretic learning 基于信息理论学习的高光谱图像线性特征提取

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292515

M. Kamnadar, H. Ghassemian

引用次数: 1

Temporal windowing in CSP method for multi-class Motor Imagery Classification 基于时间窗的CSP多类运动图像分类方法

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292617

H. Ghaheri, A. Ahmadyfard

{"title":"Temporal windowing in CSP method for multi-class Motor Imagery Classification","authors":"H. Ghaheri, A. Ahmadyfard","doi":"10.1109/IRANIANCEE.2012.6292617","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2012.6292617","url":null,"abstract":"Brain Computer Interface (BCI) is a system which straightly converts the acquired brain signals such as Electroencephalogram (EEG) to commands for controlling external devices. One of the most successful methods in Motor Imagery based BCI applications is Common Spatial method (CSP). In existing methods based on CSP, the spatial filters are extracted from the whole EEG signal as one time segment. In this study we use the fact that ERD/ERS events are not steady over time. This means that the importance of EEG channels vary for different time segments. Therefore we divide EEG signals into a number of time segments. Then we extract a feature vector from each time segment using CSP. We use OVR (One-Versus-the Rest) algorithm to break four classes problem into two classes problems. The considered four classes MI are left hand, right hand, foot and tongue. We used dataset 2a of BCI competition IV to evaluate our method. The result of experiment shows that this method outperforms both CSP and the best competitor of the BCI competition IV. In fact the effect of noise and outliers on extracted features is reduced by the proposed time windowing method.","PeriodicalId":308726,"journal":{"name":"20th Iranian Conference on Electrical Engineering (ICEE2012)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115754843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Efficient decimation filters for ΣΔ ADCs, using new FIR filters involving shift s and only two additions 有效的抽取滤波器ΣΔ adc，使用新的FIR滤波器涉及移位s和只有两个加法

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292362

M. Mottaghi-Kashtiban, A. Jalali

引用次数: 2

Supervised shape retrieval based on fusion of multiple feature spaces 基于多特征空间融合的监督形状检索

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292512

M. Z. Chahooki, N. M. Charkari

引用次数: 1

A fuzzy based very low bit rate speech coding with high accuracy 一种基于模糊的高精度极低码率语音编码方法

20th Iranian Conference on Electrical Engineering (ICEE2012) Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292557

M. Johnny, J. Mirzaee

{"title":"A fuzzy based very low bit rate speech coding with high accuracy","authors":"M. Johnny, J. Mirzaee","doi":"10.1109/IRANIANCEE.2012.6292557","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2012.6292557","url":null,"abstract":"According to the U.S. Federal Standard coder for 2400 bps, a data frame containing 54 bits of encoded signals are transmitted every 22.5 (ms). In each frame, 25 bits encode the spectral features (10 Line Spectrum Frequencies (LSF)). This paper describes a method to reduce the transmission rate while preserving most of the quality and intelligibility. The performance of the proposed coder is at about 780 bits/sec ( = 6 bits/frame × 130 frames/sec). In transmitter, we apply an algorithm to convert speech in to phonetic segments, and then these segments are bifurcated in to the voiced and unvoiced segments. Because of the fact that the spelling time of unvoiced phonetics is short, one cannot distinguish who is pronouncing them, either a male or a female. Literatures in this context show that in most cases, the aforementioned observation is admitted. Therefore, for high accuracy speech transmission, voiced phonetics are more important than unvoiced ones. Hence, a Voiced/Unvoiced decomposition system is proposed. Furthermore, in order to cluster voice segments, fuzzy clustering is applied, in which the proper number of voice segments is determined by a means of statistical method called “Elbow”. Depending on the transmission rate, two different strategies can be utilized. In the first strategy, unvoiced segments of speech can be transmitted by the use of Linear Predictive Coding (LPC) for high quality (MOS=4.5). As a second, unvoiced segments of speech can be recognized and then transmitted for lower quality (MOS=3) and under 100 bits/sec.","PeriodicalId":308726,"journal":{"name":"20th Iranian Conference on Electrical Engineering (ICEE2012)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125006275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1